DATA ENGINEER (AZURE)

BSC Degree OR relevant technology advanced diploma at NQF level 7.

Microsoft Certified: Azure Administrator Associate qualification (AZ-103)

Microsoft Certified: Azure Data Engineer Associate (DP200 – 201).

MCITP/MCSE or equivalent certifications/experience demonstrating cloud/networking/infrastructure knowledge.

Responsible for expanding and optimising data and data pipeline architecture within the Microsoft Azure platform, as well as optimising data flow and collection from various data sources and systems.

Support various data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.

The candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, optimizing data solutions and accessing external data.

Additionally, responsible for Designing solutions for business which conforms to best practises in terms of planning, design, security, structure, redundancy & availability, including monitoring and alerting.

WORK EXPERIENCE

• Similar work experience at another large corporate and / or relevant Healthcare IT experience
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• 10+ years of experience in a Data Engineer role.

KNOWLEDGE

• Networking and Infrastructure knowledge, with applied experience
• A working knowledge of technologies such as Windows Server, Active Directory, DNS, SQL Server and TCP/IP
• Strong understanding of Microsoft Azure services, functions and components: Azure SQL; Azure Data Lake; Azure Data Factory; Databricks; DevOps; LogicApps, Data Gateways.